Publications

Also see my My Google Scholar profile or my dblp profile.


Journal papers

2024

  • Jian Wang and Suzan Verberne (2024). Comparing patent in-text and front-page references to science, Journal of Informetrics, Volume 18, Issue 4, 101564, ISSN 1751-1577, https://doi.org/10.1016/j.joi.2024.101564
  • Arian Askari, Amin Abolghasemi, Gabriella Pasi, Wessel Kraaij Suzan Verberne (2024). Injecting the score of the first-stage retriever as text improves BERT-based re-rankers. Discover Computing (previously Information Retrieval Journal), Volume 27, number 15. https://doi.org/10.1007/s10791-024-09435-8
  • Arian Askari, Suzan Verberne, Amin Abolghasemi, Wessel Kraaij, and Gabriella Pasi (2024). Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker. ACM Transactions on Information Systems (TOIS), Volume 42, Issue 5, pp 1–32, https://doi.org/10.1145/3631938

2023

  • Martijn P. Bauer, Marieke M. van Buchem, Suzan Verberne (2023). Diagnose stellen met online tools: Welke mogelijkheden bieden de grote taalmodellen? In Nedederlands Tijdschrift voor Geneeskunde 2023;167:D7998
  • Gineke Wiggers, Suzan Verberne, Wouter van Loon, Gerrit-Jan Zwenne. Bibliometric-enhanced legal information retrieval: Combining usage and citations as flavors of impact relevance. Journal of the Association for Information Science and Technology (JASIST), May 2023, https://doi.org/10.1002/asi.24799
  • Juan Bascur, Suzan Verberne, Nees Jan van Eck, and Ludo Waltman. Academic information retrieval using citation clusters: in-depth evaluation based on systematic reviews. Scientometrics (2023). https://doi.org/10.1007/s11192-023-04681-x
  • Anne Dirkson, Suzan Verberne, Gerard van Oortmerssen, Hans Gelderblom, Wessel Kraaij How do others cope? Extracting coping strategies for adverse drug events from social media. Journal of Biomedical Informatics, Volume 139, March 2023. doi: 10.1016/j.jbi.2022.104228 PMID: 36309197
  • Xue Wang, Youtian Du, Suzan Verberne, Fons Verbeek. Fine-grained label learning in object detection with weak supervision of captions (2023). Multimedia Tools and Applications 82 (5), 6557-6579. https://doi.org/10.1007/s11042-022-13592-7

2022

  • Anne Dirkson, Dide den Hollander, Suzan Verberne, Ingrid Desar, Olga Husson, Winette T A van der Graaf, Astrid Oosten, Anna K L Reyners, Neeltje Steeghs, Wouter van Loon, Gerard van Oortmerssen, Hans Gelderblom, Wessel Kraaij. Sample Bias in Web-Based Patient-Generated Health Data of Dutch Patients With Gastrointestinal Stromal Tumor: Survey Study. JMIR Form Res 2022;6(12):e36755. DOI: 10.2196/36755
  • Xue Wang, Youtian Du, Suzan Verberne, Fons Verbeek. Improving weakly supervised phrase grounding via visual representation contextualization with contrastive learning. Applied Intelligence (2022). https://doi.org/10.1007/s10489-022-04259-9
  • Gineke Wiggers, Suzan Verberne, Gerrit-Jan Zwenne (2022). Citation Metrics for Legal Information Retrieval: Scholars and Practitioners Intertwined? Legal Information Management, 22(2), 88-103. doi:10.1017/S1472669622000160
  • Anne Dirkson, Suzan Verberne, Wessel Kraaij, Gerard van Oortmerssen and Hans Gelderblom. Automated gathering of real-world data from online patient forums can complement pharmacovigilance for rare cancers. Nature Scientific Reports 12, 10317 (2022). https://doi.org/10.1038/s41598-022-13894-8
  • Gineke Wiggers, Suzan Verberne, Gerrit-Jan Zwenne, Wouter Van Loon (2022). Exploration of Domain Relevance by Legal Professionals in Information Retrieval Systems. Legal Information Management, 22(1), 49-67. doi:10.1017/S1472669622000093
  • Dide den Hollander, Anne R. Dirkson, Suzan Verberne, Wessel Kraaij, Gerard van Oortmerssen, Hans Gelderblom, Astrid Oosten, Anna K. L. Reyners, Neeltje Steeghs, Winette T. A. van der Graaf, Ingrid M. E. Desar, Olga Husson (2022). Symptoms reported by gastrointestinal stromal tumour (GIST) patients on imatinib treatment: combining questionnaire and forum data. Supportive Care in Cancer. https://doi.org/10.1007/s00520-022-06929-3
  • Mohamed Barbouch, Tessa Verhoef, Suzan Verberne (2022). ” WN-BERT: Integrating WordNet and BERT for Lexical Semantics in Natural Language Understanding”. Computational Linguistics in the Netherlands Journal, 11, 105–124. (online)
  • Alex Brandsen, Suzan Verberne, Karsten Lambers, Milco Wansleeben (2022). “Can BERT Dig It? – Named Entity Recognition for Information Retrieval in the Archaeology Domain”. ACM Journal on Computing and Cultural Heritage. https://doi.org/10.1145/3497842

2021

  • Arjun Magge, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova, Anne Dirkson, Suzan Verberne, Davy Weissenbacher, Graciela Gonzalez-Hernandez, DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter, Journal of the American Medical Informatics Association, Volume 28, Issue 10, October 2021, Pages 2184–2192, https://doi.org/10.1093/jamia/ocab114

2020

  • Wessel Kraaij, Suzan Verberne, Saskia Koldijk, Elsbeth de Korte, Saskia van Dantzig, Maya Sappelli, Muhammad Shoaib, Steven Bosems, Reinoud Achterkamp, Alberto Bonomi, John Schavemaker, Bob Hulsebosch, Thymen Wabeke, Miriam Vollenbroek-Hutten, Mark Neerincx, Marten van Sinderen. “Personalized support for well-being at work: an overview of the SWELL project” (2002) User Modeling and User-Adapted Interaction: 30, pp. 413–446. https://doi.org/10.1007/s11257-019-09238-3
  • Suzan Verberne, Emiel Krahmer, Sander Wubben, Antal van den Bosch (2020). Query-based summarization of discussion threads. Natural Language Engineering, Volume 26, Issue 1, pp. 3-2 DOI: 10.1017/S1351324919000123

2019

  • Anne Dirkson, Suzan Verberne, Abeed Sarker, and Wessel Kraaij (2019). Data-Driven Lexical Normalization for Medical Social Media. Multimodal Technologies and Interaction 2019, 3(3), 60; https://doi.org/10.3390/mti3030060
  • Peter Burger, Soeradj Kanhai, Alexander Pleijter, Suzan Verberne (2019). The reach of commercially motivated junk news on Facebook. PLoS ONE 14(8): e0220446. https://doi.org/10.1371/journal.pone.0220446
  • Alex Brandsen, Karsten Lambers, Milco Wansleben, Suzan Verberne (2019). User Requirement Solicitation for an Information Retrieval System Applied to Dutch Grey Literature in the Archaeology Domain. Journal of Computer Applications in Archaeology 2(1), pp. 21–30. DOI: http://doi.org/10.5334/jcaa.33
  • Merijn Beeksma, Suzan Verberne, Antal van den Bosch, Iris Hendrickx, Enny Das, Stef Groenewoud (2019). Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records. BMC Medical Informatics and Decision Making. 19:36. https://doi.org/10.1186/s12911-019-0775-2
  • Suzan Verberne, Anika Batenburg, Remco Sanders, Mies van Eenbergen, Enny Das, Mattijs Lambooij (2019). Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach. JMIR Cancer 2019;5(1):e9887 DOI: 10.2196/cancer.9887

2018

2017

2016

2014

2013

2011 and before

Book chapters

Refereed papers in A-level conference proceedings

(A-level conferences are conferences with high impact and low acceptance rate, especially ECIR, SIGIR, CIKM, ACL, EACL, EMNLP, COLING)

  • I-Fan Lin, Faegheh Hasibi, Suzan Verberne (2024). Generate then Refine: Data Augmentation for Zero-shot Intent Detection. To appear in the Findings of EMNLP 2024 (arXiv)
  • Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren (2024). Learning to Use Tools via Cooperative and Interactive Agents. To appear in the Findings of EMNLP 2024 (arXiv)
  • Lingling Zhou, Suzan Verberne, Gijs Wijnholds (2024). Tree Transformer’s Disambiguation Ability of Prepositional Phrase Attachment and Garden Path Effects. In proceedings of ACL 2024: 62nd Annual Meeting of the Association for Computational Linguistics. ACL, August 2024.
  • Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, and Suzan Verberne. CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. In proceedings of ACL 2024: 62nd Annual Meeting of the Association for Computational Linguistics. ACL, August 2024. (arXiv)
  • Myrthe Reuver, Suzan Verberne, and Antske Fokkens. 2024. Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 9245–9260, Torino, Italy. ELRA and ICCL.
  • Runda Wang, Marco Spruit, and Suzan Verberne (2024). Attend All Options At Once: Full Context Input For Multi-Choice Reading Comprehension. In ECIR 2024: 46th European Conference on Information Retrieval. Springer, April 2024.
  • Pavlos Zakkas, Suzan Verberne, and Jakub Zavrel (2024). SumBlogger: Abstractive Summarization for Large Collections of Scientific Articles. In Findings of ECIR 2024: 46th European Conference on Information Retrieval. Springer, April 2024.
  • 🏆 Amin Abolghasemi, Leif Azzopardi, Arian Askari, Maarten de Rijke, and Suzan Verberne (2024). Measuring Bias in a Ranked List using Term-based Representations. In ECIR 2024: 46th European Conference on Information Retrieval. Springer, April 2024.
  • Arian Askari, Zihui Yang, Zhaochun Ren, and Suzan Verberne (2024). Answer Retrieval in Legal Community Question Answering. In ECIR 2024: 46th European Conference on Information Retrieval. Springer, April 2024. arXiv
  • Arian Askari, Mohammad Aliannejadi, Chuan Meng, Evangelos Kanoulas, Suzan Verberne (2023). Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking. Proceedings of EMNLP 2023: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10087–10099. 10.18653/v1/2023.emnlp-main.623
  • Arian Askari, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne (2023). CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), pp. 25-35.
  • Amin Abolghasemi, Suzan Verberne, Arian Askari, Leif Azzopardi (2023). Retrievability Bias Estimation Using Synthetically Generated Queries. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), pp. 3712-3716.
  • Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, Suzan Verberne (2023). A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), pp. 5311-5315.
  • Arian Askari, Amin Abolghasemi, Gabriella Pasi, Wessel Kraaij, Suzan Verberne. (2023). Injecting the BM25 Score as Text Improves BERT-Based Re-rankers. In Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part I (pp. 66-83).
  • Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, and Allan Hanbury. 2022. TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM ’22). Association for Computing Machinery, New York, NY, USA, 3801–3805. https://doi.org/10.1145/3511808.3557714
  • Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury (2022). PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. In: Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13185. Springer, Cham. https://doi.org/10.1007/978-3-030-99736-6_2
  • Amin Abolghasemi, Suzan Verberne, Leif Azzopardi (2022). Improving BERT-based Query-by-Document Retrieval with Multi-task Optimization. In: Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13185. Springer, Cham. https://doi.org/10.1007/978-3-030-99739-7_1
  • Arian Askari, Suzan Verberne, Gabriella Pasi (2022). Expert Finding in Legal Community Question Answering. In: Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13185. Springer, Cham. https://doi.org/10.1007/978-3-030-99739-7_3
  • Yuting Hu and Suzan Verberne (2020). Named Entity Recognition for Chinese biomedical patents (pdf). In the Proceedings of the 28th International Conference on Computational Linguistics (COLING), pp 627-637
  • Suzan Verberne, Jiyin He, Udo Kruschwitz, Birger Larsen, Tony Russell-Rose, Arjen P. de Vries (2018). First International Workshop on Professional Search (ProfS2018). In Proceedings of The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 1431-1434.
  • Suzan Verberne, Bram Arends, Arjen de Vries, Wessel Kraaij (2016): Longitudinal navigation log data on a large web domain. Proceedings of the 39th international ACM SIGIR conference on Research & development in information retrieval.
  • Suzan Verberne, Maya Sappelli, Kalervo Jarvelin, Wessel Kraaij (2015). User simulations for interactive search: evaluating personalized query suggestion. Proceedings of the 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 – April 2, 2015, pp 678-690
  • Saskia Koldijk, Maya Sappelli, Suzan Verberne, Marc Neerincx, Wessel Kraaij (2014). The SWELL Knowledge Work Dataset for Stress and User Modeling Research. Proceedings of the 16th ACM International Conference on Multimodal Interaction (ICMI 2014)
  • Suzan Verberne, Maya Sappelli and Wessel Kraaij (2014). Query term suggestion in academic search. Proceedings of the 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014, Lecture Notes in Computer Science, Vol. 8416, pp. 560–566.
  • Maya Sappelli, Suzan Verberne, Wessel Kraaij (2013). Recommending personalized touristic sights using Google Places. Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2013)
  • Suzan Verberne, Antal van den Bosch, Helmer Strik, Lou Boves (2012). The effect of domain and text type on text prediction quality. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012)
  • Suzan Verberne, Lou Boves, Wessel Kraaij (2011). Bringing Why-QA to Web Search. Advances in Information Retrieval: 33rd European Conference on IR Resarch, ECIR 2011, Dublin, Ireland, April 18-21, 2011, Proceedings, pp. 491-496.
  • Max Hinne, Wessel Kraaij, Suzan Verberne, Stephan Raaijmakers, Theo van der Weide, Maarten van der Heijden (2009). Annotation of URLs: more than the sum of parts. Proceedings of the 32th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009), Boston, pp. 632-633 (poster)
  • Suzan Verberne, Lou Boves, Nelleke Oostdijk, Peter-Arno Coppen (2008). Using Syntactic Information for Improving Why-Question Answering. In Proceedings of COLING 2008.
  • Suzan Verberne, Lou Boves, Nelleke Oostdijk, Peter-Arno Coppen (2008). Evaluating paragraph retrieval for why-QA. In C. MacDonald et al. (Eds.): Advances in Information Retrieval – 31th European Conference on IR Research – ECIR 2008, LNCS 4956, p.p. 669-673, Glasgow, UK.
  • Suzan Verberne (2007). Paragraph retrieval for why-question answering. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, p. 922 (Doctoral Consortium)
  • Suzan Verberne, Lou Boves, Nelleke Oostdijk, Peter-Arno Coppen (2007). Evaluating Discourse-based Answer Extraction for Why-Question Answering. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, pp. 735-737 (poster)
  • Suzan Verberne (2006). Developing an approach for why-question answering. In Conference Companion of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, Italy, pp. 39-46 (Student Session).

Refereed papers in other conference proceedings

Refereed papers in workshop proceedings

  • Andreas Paraskeva, Joao Pedro Reis, Suzan Verberne, Jan N. van Rijn (2024). Resource-constrained Neural Architecture Search on Language Models: A Case Study. In proceedings of the 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024)
  • Thijmen Bijl, Niels van Weeren, Suzan Verberne (2024). Efficient course recommendations with T5-based ranking and summarization. In proceedings of the Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR’24) @ SIGIR24 (arXiv).
  • Mert Yazan, Suzan Verberne, Frederik Situmeang (2024). The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs. In proceedings of the IR-RAG workshop @ SIGIR24 on Information Retrieval’s Role in RAG Systems (arXiv).
  • Fons Hartendorp, Tom Seinen, Erik van Mulligen, Suzan Verberne (2024). Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus. In proceedings of the CL4Health workshop on Patient-oriented language processing @ LREC-COLING 2024 (arXiv)
  • Amin Abolghasemi, Suzan Verberne, Leif Azzopardi, and Maarten de Rijke (2023). On the Explainability of Exposing Query Identification. In 6th FAccTRec Workshop on Responsible Recommendation at RecSys 2023. ACM, September 2023.
  • Myrthe Reuver, Suzan Verberne, Roser Morante, Antske Fokkens (2021). Is Stance Detection Topic-Independent and Cross-topic Generalizable? — A Reproduction Study. Proceedings of the 8th Workshop on Argument Mining, 2021 co-located with EMNLP 2021. arXiv
  • Hugo de Vos and Suzan Verberne (2021). Small data problems in political research: a critical replication study. Proceedings of the 1st Workshop on Computational Linguistics for Political Text Analysis (CPSS-2021), pp. 3-11. arXiv
  • Myrthe Reuver, Nicolas Mattis, Marijn Sax, Suzan Verberne, Nava Tintarev, Natali Helberger, Judith Moeller, Sanne Vrijenhoek, Antske Fokkens, Wouter van Atteveldt (2021). Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content. In the Proceedings of the 1st Workshop on NLP for Positive Impact, Association for Computational Linguistics, pp. 47-59
  • Anne Dirkson, Suzan Verberne, Wessel Kraaij (2021). FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous Entities. In the Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis, Association for Computational Linguistics, pp. 77-82
  • Myrthe Reuver, Antske Fokkens, Suzan Verberne (2021). “No NLP Task Should be an Island: Multi-disciplinarity for Diversity in News Recommender Systems“. In the Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, pp. 45-55
  • Ken Voskuil and Suzan Verberne (2021). “Improving reference mining in patents with BERT”. In the Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 43rd European Conference on Information Retrieval (ECIR 2021), CEUR-WS Vol. 2847, pp. 78-88
  • Anne Dirkson, Suzan Verberne, Wessel Kraaij (2020). Conversation-Aware Filtering of Online Patient Forum Messages (pdf). In the Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, pp. 11-18
  • Rayan Suryadikara, Suzan Verberne, Frank W. Takes (2020). False News Classification and Dissemination: The case of the 2019 Indonesian Presidential Election (pdf). In the Proceedings of the CIKM 2020 Workshops, co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), CEUR-WS, Vol. 2699.
  • Ioannis Chios and Suzan Verberne (2020). Helping results assessment by adding explainable elements to the deep relevance matching model (arXiv). In the Proceedings of the 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020)
  • Hugo de Vos and Suzan Verberne (2020). Challenges of Applying Automatic Speech Recognition for Transcribing EUParliament Committee Meetings: A Pilot Study (pdf). In the Proceedings of ParlaCLARIN II Workshop, pages 40–43.
  • Gineke Wiggers and Suzan Verberne (2020). Usage and Citation Metrics for Ranking Algorithms in Legal Information Retrieval Systems. In the Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval, co-located with 42nd European Conference on Information Retrieval (ECIR 2020), CEUR workshop proceedings Vol-2591, page 42-52
  • Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck, Ludo Waltman (2020). Browsing Citation Clusters for Academic Literature Search: A Simulation Study with Systematic Reviews. In the Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval, co-located with 42nd European Conference on Information Retrieval (ECIR 2020), CEUR workshop proceedings Vol-2591, 53-65
  • Anne Dirkson and Suzan Verberne (2019). “Transfer Learning for Health-related Twitter Data“. In: Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task at ACL 2019, Florence, Italy. pp. 89–92
  • Anne Dirkson, Suzan Verberne, Wessel Kraaij (2019). “Lexical Normalization of User-Generated Medical Text“. In: Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task at ACL 2019, Florence, Italy. pp. 11–20
  • Suzan Verberne, Ioannis Chios, Jian Wang (2019). “Extracting and Matching Patent In-text References to Scientific Publications” . In the Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019), co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019 pp. 35-42
  • Anne Dirkson, Suzan Verberne, Wessel Kraaij (2019). Narrative Detection in Online Patient Communities. In Proceedings of Text2Story — Second Workshop on Narrative Extraction From Texts, co-located with 41th European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, April 14th, 2019. CEUR workshop proceedings Vol-2342, pp 21-28
  • Gineke Wiggers and Suzan Verberne (2019). Citation Metrics for Legal Information Retrieval Systems. In Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 41st European Conference on Information Retrieval (ECIR 2019), CEUR workshop proceedings Vol-2345, pp. 56-69.
  • Maaike de Boer, Anne Dirkson, Gerard van Oortmerssen, Suzan Verberne (2018). “The Patient Forum Miner: Text Mining for patient communities” In Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop, pp. 25-26
  • Anne Dirkson, Suzan Verberne, Gerard van Oortmerssen, Wessel Kraaij (2018). “Lexical normalization of user-generated forum data” In Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop, pp. 1-4
  • Gineke Wiggers, Suzan Verberne, Gerrit-Jan Zwenne (2018). “Exploration of Intrinsic Relevance Judgments by Legal Professionals in Information Retrieval Systems” In Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop, pp. 5-8
  • Suzan Verberne (2018). “Explainable IR for personalizing professional search” (position paper). In the Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH’18). Co-located with (ACM SIGIR 2018), pp. 35-42
  • Gerard van Oortmerssen, Stephan Raaijmakers, Maya Sappelli, Erik Boertjes, Suzan Verberne, Nicole Walasek, Wessel Kraaij (2017). “Analyzing cancer forum discussions with text mining”. In the proceedings of the Second International Workshop on Extraction and Processing of Rich Semantics from Medical Texts
  • Suzan Verberne, Thymen Wabeke and Rianne Kaptein (2016). Boolean Queries for News Monitoring: Suggesting new query terms to expert users. The First International Workshop on Recent Trends in News Information Retrieval (NewsIR’16)
  • Suzan Verberne, Thymen Wabeke and Rianne Kaptein (2015). “QUINN: Query Updates for News Monitoring”. In Proceedings of the 14th Dutch-Belgian Information Retrieval Workshop, Amsterdam, the Netherlands, p. 30.
  • Maya Sappelli, Suzan Verberne, Saskia Koldijk and Wessel Kraaij (2014). Collecting a dataset of information behaviour in context. Proceedings of the 4th Workshop on Context-Awareness in Retrieval and Recommendation (CARR @ ECIR 2014), pp 26-29, ACM New York, NY, USA
  • Suzan Verberne, Maya Sappelli, Diana R. Sørensen, Wessel Kraaij (2013). Personalization in Professional Academic Search. In: M. Lupu, M. Salampasis, N. Fuhr, A. Hanbury, B. Larsen, H. Strindberg (eds.): Proceedings of the Integrating IR technologies for Professional Search Workshop at ECIR, Moscow, Russia, 24 March 2013
  • Maya Sappelli, Suzan Verberne, Maarten van der Heijden, Max Hinne, Wessel Kraaij (2012). Collecting ground truth data for query intent. In Proceedings of the Dutch-Belgium Information Retrieval workshop (DIR 2012)
  • Suzan Verberne, Eva D’Hondt, Nelleke Oostdijk, Cornelis H.A. Koster (2010). Quantifying the Challenges in Parsing Patent Claims. Proceedings of the 1st International Workshop on Advances in Patent Information Retrieval (AsPIRe 2010) at ECIR 2010, Milton Keynes, UK pp. 14-21.
  • Max Hinne, Maarten van der Heijden, Suzan Verberne, Wessel Kraaij (2011). A multi-dimensional model for search intent. Proceedings of the Dutch-Belgium Information Retrieval workshop (DIR 2011)
  • Nelleke Oostdijk, Hans van Halteren, Eva D’Hondt, Suzan Verberne (2010). Genre and Domain in Patent Texts. Proceedings of the The 3rd International Workshop on Patent Information Retrieval (PAIR) at CIKM 2010, pp 39-46
  • Maarten van der Heijden, Max Hinne, Suzan Verberne, Eduard Hoenkamp, Theo van der Weide, Wessel Kraaij (2010). When is a query a question? Reconstructing wh-requests from ad hoc-queries. Proceedings of the Query Representation and Understanding workshop at SIGIR 2010 (pp. 17-20)
  • Eva D’Hondt, Suzan Verberne, Nelleke Oostdijk, Lou Boves (2010). Re-ranking based on Syntactic Dependencies in Prior-Art Retrieval. Proceedings of the Dutch-Belgium Information Retrieval workshop 2010 (DIR 2010), pages 23-30
  • Suzan Verberne, Max Hinne, Maarten van der Heijden, Wessel Kraaij, Eva D’hondt, Theo van der Weide (2009). Annotating URLs with query terms: What factors predict reliable annotations?. Proceedings of the Understanding the User (UIIR) workshop at SIGIR 2009, pp. 40-43
  • Suzan Verberne, Hans van Halteren, Stephan Raaijmakers, Daphne Theijssen, Lou Boves (2009). Learning to Rank QA data. Proceedings of the Learning to Rank workshop at SIGIR 2009, pp. 41-48
  • Suzan Verberne, Stephan Raaijmakers, Daphne Theijssen, Lou Boves (2009). Learning to Rank Answers to Why-Questions. Proceedings of the Dutch-Belgium Information Retrieval workshop (DIR 2009), pp. 34-41.
  • Cornelis H.A. Koster, Nelleke Oostdijk, Suzan Verberne, Eva D’Hondt (2009). Challenges in Professional Search with PHASAR. Proceedings of the Dutch-Belgium Information Retrieval workshop (DIR 2009), pp 101-102 (poster).
  • Maarten van der Heijden, Max Hinne, Wessel Kraaij, Suzan Verberne, Theo van der Weide (2009). Using query logs and click data to create improved document descriptions. Proceedings of WSCD 2009, pp. 64-67.
  • Mahboob Khalid and Suzan Verberne (2008). Passage Retrieval for Question Answering using Sliding Windows. In Proceedings of COLING 2008, workshop Information Retrieval for Question Answering (IR4QA).
  • Suzan Verberne (2007). Evaluating Answer Extraction for Why-QA using RST-annotated Wikipedia texts. In Proceedings of the Twelfth ESSLLI Student Session, Dublin, pp. 255-266.

Preprints

  • Jie Wu, Zhaochun Ren, Suzan Verberne (2024). What are the limits of cross-lingual dense passage retrieval for low-resource languages? arXiv preprint, August 2024. 2408.11942
  • Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck, Ludo Waltman (2024) Which topics are best represented by science maps? An analysis of clustering effectiveness for citation and text similarity networks. arXiv preprint, June 2024. arXiv:2406.06454
  • Casper Peeters, Koen Vijverberg, Marianne Pouwer, Bart Westerman, Maikel Boot, Suzan Verberne. Evaluation of SURUS: a Named Entity Recognition System to Extract Knowledge from Interventional Study Records. medRxiv preprint, June 2024. 2024.05.31.24308278
  • Gineke Wiggers, Suzan Verberne, Arjen de Vries, and Roel van der Burg. High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System. arXiv preprint, March 2024 arXiv:2403.18962
  • Hugo de Vos and Suzan Verberne. Political corpus creation through automatic speech recognition on EU debates. arXiv preprint, April 2023. https://arxiv.org/abs/2304.08137
  • Yanfang Hou, Peter van der Putten, Suzan Verberne. The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation. arXiv preprint, April 2022. https://arxiv.org/abs/2204.02000
  • Anne Dirkson, Suzan Verberne, Wessel Kraaij (2021). Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack. arXiv preprint, September 2021 https://arxiv.org/abs/2109.11308.
  • Jian Wang, Suzan Verberne (2021). Two tales of science technology linkage: Patent in-text versus front-page references. arXiv preprint, January 2021 https://arxiv.org/abs/2103.08931.
  • Alex Brandsen, Suzan Verberne, Karsten Lambers, Milco Wansleeben (2021). Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain. arXiv preprint, January 2021 https://arxiv.org/abs/2103.04437.
  • Jeroen Offerijns, Suzan Verberne, Tessa Verhoef (2020). “Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering” arXiv preprint, October 2020 arXiv:2010.09598.
  • Benjamin van der Burgh and Suzan Verberne (2019). “The merits of Universal Language Model Fine-tuning for Small Datasets–a case with Dutch book reviews” arXiv preprint, October 2019 arXiv:1910.00896.
  • Suzan Verberne, Jiyin He, Gineke Wiggers, Tony Russell-Rose, Udo Kruschwitz, Arjen P. de Vries (2019). Information search in a professional context – exploring a collection of professional search tasks. arXiv pre-print, May 2019. arXiv:1905.04577
  • Suzan Verberne, Arjen P. de Vries, Wessel Kraaij (2018). Author-topic profiles for academic search. arXiv pre-print, April 2018. arXiv:1804.11131

Reports and working notes (non-refereed)

Publications for a general audience (in Dutch)